Executive Development Programme in AI and Data Science Strategy

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The Executive Development Programme in AI and Data Science Strategy certificate course is a valuable opportunity for professionals seeking to lead data-driven transformation in their organizations. This programme emphasizes the strategic importance of AI and Data Science in today's business landscape, addressing the growing industry demand for leaders who can drive innovation and efficiency using these technologies.

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Through a comprehensive curriculum, learners are equipped with essential skills in AI and Data Science strategy, including data literacy, AI application, and ethical considerations. These skills empower learners to make informed, strategic decisions that leverage the power of AI and data. By the end of the course, learners will have developed a robust AI and Data Science strategy for their organization, positioning them as leaders in the field and enhancing their career prospects.

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Unit 1: Introduction to AI & Data Science
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Unit 2: AI & Data Science Strategy Formulation
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Unit 3: Leveraging Data Analytics for Business Growth
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Unit 4: AI & Data Science Use Cases in Different Industries
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Unit 5: Building an AI & Data Science Roadmap
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Unit 6: Ethics in AI & Data Science
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Unit 7: Change Management for AI & Data Science Implementation
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Unit 8: Best Practices for AI & Data Science Project Management
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Unit 9: Measuring AI & Data Science Impact and ROI
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Unit 10: Future Trends in AI & Data Science

่Œไธš้“่ทฏ

The **Executive Development Programme in AI and Data Science Strategy** emphasizes the significance of AI and data science in contemporary industries. This section highlights the latest job market trends, showcasing a variety of AI and data science roles. *Data Scientist*: With a 35% share in the job market, data scientists are in high demand. They are responsible for extracting valuable insights from complex datasets, driving strategic business decisions. *AI Engineer*: AI engineers, accounting for 25% of the job market, focus on designing, implementing, and managing AI frameworks. Their expertise is essential for automating processes and optimizing system performance. *AI Analyst*: AI analysts, representing 20% of the job market, analyze AI models and systems to improve efficiency and productivity. Their role is crucial in enhancing business outcomes through AI technologies. *Data Engineer*: Data engineers, accounting for 15% of the job market, design and build data systems, ensuring seamless data flow between data sources and analytics applications. Their expertise is vital for data-driven organizations. *Data Analyst*: With 5% of the job market, data analysts collect, process, and interpret data, providing actionable insights to support business objectives. Their role is instrumental in driving data-informed decision-making. The Google Charts 3D pie chart above displays the aforementioned roles and their respective percentages in the UK job market. This visual representation showcases the growing demand for AI and data science skills, offering valuable insights for professionals seeking to advance their careers in this field.

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN AI AND DATA SCIENCE STRATEGY
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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